Anna Danielsson
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
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- Epigenetics and DNA Methylation
- Metabolism, Diabetes, and Cancer
Papers in
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- Gene expression and cancer classification 4
- Metabolism, Diabetes, and Cancer 2
- RNA Interference and Gene Delivery 2
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- Cancer Genomics and Diagnostics 6
- Breast Cancer Treatment Studies 3
- Co-authors
- Peter Strålfors (2 shared papers)Anita Öst (2 shared papers)Fredrik H. Nyström (2 shared papers)Khalil Helou (11 shared papers)Szilárd Nemes (9 shared papers)Per Karlsson (7 shared papers)Ulla Delle (7 shared papers)Toshima Z. Parris (8 shared papers)
- Journals
- Oncotarget (3 papers)Clinical Cancer Research (2 papers)BMC Cancer (2 papers)Genes Chromosomes and Cancer (2 papers)Clinical Epigenetics (2 papers)
- Partner nations
- SwedenGermanyUnited Kingdom
In The Last Decade
Anna Danielsson
30 papers receiving 861 citations
Peers
Comparison fields: 5 of 90
- Cancer Research 165
- Molecular Biology 424
- Cell Biology 96
- Genetics 58
- Oncology 120
Countries citing papers authored by Anna Danielsson
This map shows the geographic impact of Anna Danielsson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Anna Danielsson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Danielsson more than expected).
Fields of papers citing papers by Anna Danielsson
This network shows the impact of papers produced by Anna Danielsson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Anna Danielsson. The network helps show where Anna Danielsson may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Danielsson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 106 | |
| 2 | 2012 | 94 | |
| 3 | 2004 | 84 | |
| 4 | 2010 | 83 | |
| 5 | 2007 | 64 | |
| 6 | 2017 | 42 | |
| 7 | 2015 | 37 | |
| 8 | 2010 | 32 | |
| 9 | 2015 | 32 | |
| 10 | 2008 | 31 | |
| 11 | 2010 | 31 | |
| 12 | 2015 | 31 | |
| 13 | 2008 | 29 | |
| 14 | 2017 | 29 | |
| 15 | 2002 | 22 | |
| 16 | 2022 | 18 | |
| 17 | 2020 | 15 | |
| 18 | 2007 | 14 | |
| 19 | 2018 | 13 | |
| 20 | 2012 | 12 |
About Anna Danielsson
Anna Danielsson is a scholar working on Molecular Biology, Cancer Research, Genetics, Oncology and Genetics, having authored 31 papers that have together received 878 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), Gene expression and cancer classification (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Breast Cancer Treatment Studies (3 papers), Glioma Diagnosis and Treatment (3 papers), Metabolism, Diabetes, and Cancer (2 papers), RNA Interference and Gene Delivery (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Cancer Research (165 citations), Molecular Biology (424 citations), Cell Biology (96 citations), Genetics (58 citations) and Oncology (120 citations). Anna Danielsson has collaborated with scholars based in Sweden, Germany and United Kingdom. Frequent co-authors include Peter Strålfors, Anita Öst, Fredrik H. Nyström, Khalil Helou, Szilárd Nemes, Per Karlsson, Ulla Delle, Toshima Z. Parris, Martin Lidén and Ulf Eriksson. Their work appears in journals such as Oncotarget, Clinical Cancer Research, BMC Cancer, Genes Chromosomes and Cancer and Clinical Epigenetics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.